Analytics Engineer (m/f/d)

InPost Group is an innovative European out of home deliveries company operating across several countries with a network of intelligent lockers providing fast, convenient, and secure parcel delivery. It is a publicly traded company with a market capitalization of about $5 billion as of March 2023 and employs over 10,000 people worldwide, making it one of the largest out of home delivery providers in Europe.

• Proven ability to work with large datasets including advanced SQL skills, query optimization, and reporting process automation (including VBA).
• Experience with Business Intelligence tools, especially Power BI (Power Query, DAX).
• Basic programming knowledge in Python (including PySpark).
• Strong working knowledge of Databricks or similar platforms.
• Highly developed analytical thinking and problem-solving mindset.
• Ability to translate data into actionable insights and business-oriented recommendations.
• Skill in creating clear, logical, user-friendly, and visually appealing data visualizations and reports.
• Solid understanding of statistics and mathematics at a practical level.

Power BI Reporting & Dashboard Management:

• Prepare, develop, and maintain Power BI reports and dashboards to support decision-making in product development, deployments, and marketing.

End-to-End Analytical Support:

• Conduct comprehensive analyses, interpret complex datasets, and present conclusions and recommendations to stakeholders.

Trend & Anomaly Detection:

• Identify trends, patterns, deviations, and anomalies and communicate findings for managerial action.

Data & Dashboard Optimization Activities:

• Participate in projects to refine dashboard maintenance, aggregation, and structuring to improve efficiency.

Analytical Contribution to Business Cases:

• Support development of business cases involving large or multi-source datasets for budgeting and strategic initiatives.

Business Analysis for Non-Reported Areas:

• Perform business analyses for areas lacking ongoing reporting or requiring advanced database querying.

Coordination Between Data & Business Teams:

• Facilitate collaboration to streamline planning, enhance understanding of business needs, and accelerate implementations.